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Source channel @githubtrending · Post #14909 · Jul 3

#other#agent#llm#rag Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research. https://github.com/datawhalechina/happy-llm

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The 2ndDim: That was I talking about!

@The2ndDim · Post #1506 · 07/28/2021, 08:18 PM

#WantThis#SBC#RaspberryPi https://www.youtube.com/watch?v=huAKEbyPcBc https://forum.radxa.com/t/introduce-the-radxa-zero/6550 有点厉害 性能吊打树莓派ZeroW 可惜视频只走MicroHDMI CPU: AmLogic S905Y2 (4核心 Cortex-A53 1.8 GHz, 12nm制程) GPU: Mali G31 MP2 RAM: LPDDR4 512MB/1GB/2GB/4GB 存储: 板载eMMC 5.1 8/16/32/64/128GB + MicroSD扩展 HDMI: Micro HDMI, HDMI 2.1, 4K@60 HDR 硬件解码: H265/VP9 decode 4Kx2K@60 无线: WiFi4/BT4 或 WiFi5/BT5 USB: 1x USB 2.0 Type C OTG (数据+供电), 1x USB 3.0 Type C host GPIO: 40Pin GPIO, ADC/UART/SPI/PWM 其他: Crypto Engine, 支持外置天线, 一个硬件按钮 系统: 目前有 Android 9, TwisterOS (基于Armbian的Ubuntu 20.04分支), Manjaro, EmuELEC